Predicting Time-Bound User Needs Using Google Analytics Data

views comments

Learn how to determine what content is significant to your users during the various periods of your campus’ academic calendar. Attendees will learn techniques to consolidate meaningful Google Analytics data, compare the results with other years, and find patterns that can help guide content strategy. Live presentation with Q&A session.

Note: The captions and transcript are being improved.

Tags

Contact DoIT HelpDesk to report an issue, offer feedback, or request assistance.

UW–Madison MediaSpace Help | IT Policies | Responsible Use of IT Policy | Privacy Rights

Kaltura MediaSpace, [email protected]–Madison, Academic Technology, Division of Information Technology

Want to engage with other users of Kaltura at UW-Madison?
Subscribe to [email protected] by clicking here and clicking "Join" in the upper right corner (requires NetID and Office 365).

Predicting Time-Bound User Needs Using Google Analytics Data

Related Media